Aplicação de Redes Neuro-Fuzzy para Predição de Propagação de Ondas de Rádio LoRa em um Ambiente Suburbano Amazônico

Luana Batista Araújo, Mateus Gomes de Oliveira Luz, José Arthur Pereira Alves, Wendel Silva Santana, Leslye Castro Eras

DOI: 10.14209/sbrt.2023.1570923820

Evento: XLI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2023)

Keywords: Neuro-Fuzzy Predict Radiopropagation LoRa

Abstract

In this work, a Neuro-Fuzzy system was used to predict the radiopropagation of a LoRa (Long-Range) signal. The objective is to create a propagation model and analyze its performance, comparing it with models commonly used in the literature, such as the free space model, the ITU-R P.1546 model for distances smaller than 1km and the ITU-R P model: 833 for regions with vegetation cover. The neuro-fuzzy system created proved to be very efficient for the Amazon region, with a superior performance than the other mentioned models.

Download